Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1699 | Zimbabwe | Africa | 1987 | 62.351 | 9216418 | 706.157306 | ZWE | 716 |
| 1700 | Zimbabwe | Africa | 1992 | 60.377 | 10704340 | 693.420786 | ZWE | 716 |
| 1701 | Zimbabwe | Africa | 1997 | 46.809 | 11404948 | 792.449960 | ZWE | 716 |
| 1702 | Zimbabwe | Africa | 2002 | 39.989 | 11926563 | 672.038623 | ZWE | 716 |
| 1703 | Zimbabwe | Africa | 2007 | 43.487 | 12311143 | 469.709298 | ZWE | 716 |
1704 rows × 8 columns
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
# YOUR CODE HERE
df_2007 = df[df["year"]==2007]
df_2007_new = df_2007.groupby('continent').sum(numeric_only=True)
fig = px.bar(df_2007_new, x='pop', y=df_2007_new.index, color=df_2007_new.index)
#df_2007_new = df_2007_new.sort_values(by='pop', ascending=True)
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(
texttemplate='%{value:.2s}',
textposition='outside'
)
# YOUR CODE HERE
#see question 1
Add text to each bar that represents the population
# YOUR CODE HERE
#see question 1
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
# YOUR CODE HERE
# YOUR CODE HERE
#df_2007 = df[df["year"]==2007]
#df_2007_new = df_2007.groupby('continent').sum(numeric_only=True)
#fig = px.bar(df_2007_new, x='pop', y=df_2007_new.index, color=df_2007_new.index)
#df_2007_new = df_2007_new.sort_values(by='pop', ascending=True)
#fig.update_yaxes(categoryorder='total ascending')
#fig.update_traces(
# texttemplate='%{value:.2s}',
# textposition='outside'
#)
df_new = df.groupby('continent').sum(numeric_only=True)
fig = px.bar(df, x='pop', y='continent', color='continent', animation_frame='year', animation_group='country', range_x = [0,4e9])
fig.update_yaxes(categoryorder='total ascending')
fig
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
# YOUR CODE HERE
fig = px.bar(df, x='pop', y='country', color='continent', animation_frame='year', animation_group='country', range_x = [0,1.3e9])
fig.update_yaxes(categoryorder='total ascending')
fig
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
# YOUR CODE HERE
fig = px.bar(df, x='pop', y='country', color='continent', animation_frame='year', animation_group='country', range_x = [0,1.5e9],height=1000)
fig.update_yaxes(categoryorder='total ascending')
fig
# YOUR CODE HERE
# YOUR CODE HERE
fig = px.bar(df, x='pop', y='country', color='continent', animation_frame='year', animation_group='country',range_y=[131.5,141.5], range_x = [0,1.5e9])
fig.update_yaxes(categoryorder='total ascending')
fig